CA2327441A1 - Poursuite de traits utilisant un reseau de traits dense - Google Patents

Poursuite de traits utilisant un reseau de traits dense Download PDF

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Publication number
CA2327441A1
CA2327441A1 CA002327441A CA2327441A CA2327441A1 CA 2327441 A1 CA2327441 A1 CA 2327441A1 CA 002327441 A CA002327441 A CA 002327441A CA 2327441 A CA2327441 A CA 2327441A CA 2327441 A1 CA2327441 A1 CA 2327441A1
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CA
Canada
Prior art keywords
feature
image
grid
feature points
images
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
CA002327441A
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English (en)
Inventor
Philip R. Moorby
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Synapix Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Synapix Inc filed Critical Synapix Inc
Publication of CA2327441A1 publication Critical patent/CA2327441A1/fr
Abandoned legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G06T7/251—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/24—Aligning, centring, orientation detection or correction of the image
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20—Image signal generators
    • H04N13/204—Image signal generators using stereoscopic image cameras
    • H04N13/207—Image signal generators using stereoscopic image cameras using a single 2D image sensor
    • H04N13/211—Image signal generators using stereoscopic image cameras using a single 2D image sensor using temporal multiplexing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20—Image signal generators
    • H04N13/204—Image signal generators using stereoscopic image cameras
    • H04N13/207—Image signal generators using stereoscopic image cameras using a single 2D image sensor
    • H04N13/221—Image signal generators using stereoscopic image cameras using a single 2D image sensor using the relative movement between cameras and objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G06T2207/10012—Stereo images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • G06T2207/30201—Face
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20—Image signal generators
    • H04N13/204—Image signal generators using stereoscopic image cameras
    • H04N13/239—Image signal generators using stereoscopic image cameras using two 2D image sensors having a relative position equal to or related to the interocular distance
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N2013/0074—Stereoscopic image analysis
    • H04N2013/0081—Depth or disparity estimation from stereoscopic image signals

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)

Abstract

Cette invention se rapporte à un procédé de poursuite de traits sur plusieurs trames d'images apparentées, par développement d'un réseau dense de traits et de leurs trajectoires sous la forme d'une grille déformable à espacements réguliers, dans laquelle les vecteurs de chaque point de trait nodal de la grille sont dérivés par un processus apparenté au flux optique. Le réseau de traits dense qui en résulte peut être appliqué à des techniques telles que la poursuite de formes bidimensionnelles sur des trames, l'estimation de trajectoires tridimensionnelles de points de traits choisis, l'estimation de trajectoires de caméras tridimensionnelles à partir de multiple points de traits ou la récupération de structures de scènes tridimensionnelles estimées (y compris les profondeurs estimées de surfaces d'objets) à partir de données de poursuite de traits.
CA002327441A 1998-04-03 1999-03-26 Poursuite de traits utilisant un reseau de traits dense Abandoned CA2327441A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US09/054,866 1998-04-03
US09/054,866 US6192156B1 (en) 1998-04-03 1998-04-03 Feature tracking using a dense feature array
PCT/US1999/006129 WO1999052071A1 (fr) 1998-04-03 1999-03-26 Poursuite de traits utilisant un reseau de traits dense

Publications (1)

Publication Number Publication Date
CA2327441A1 true CA2327441A1 (fr) 1999-10-14

Family

ID=21994013

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002327441A Abandoned CA2327441A1 (fr) 1998-04-03 1999-03-26 Poursuite de traits utilisant un reseau de traits dense

Country Status (5)

Country Link
US (1) US6192156B1 (fr)
EP (1) EP1066594A1 (fr)
AU (1) AU3195499A (fr)
CA (1) CA2327441A1 (fr)
WO (1) WO1999052071A1 (fr)

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US7330186B2 (en) * 1999-08-03 2008-02-12 Sony Corporation Methods and systems for scoring multiple time-based assets and events
DE19953063A1 (de) * 1999-11-03 2001-06-07 Univ Magdeburg Tech Verfahren zur dreidimensionalen optischen Vermessung von Objektoberflächen
US6728394B1 (en) * 2000-02-14 2004-04-27 Siemens Medical Solutions Usa, Inc. Dynamic measurement of object parameters
US6785427B1 (en) * 2000-09-20 2004-08-31 Arcsoft, Inc. Image matching using resolution pyramids with geometric constraints
AUPR676201A0 (en) * 2001-08-01 2001-08-23 Canon Kabushiki Kaisha Video feature tracking with loss-of-track detection
EP1357756A1 (fr) * 2002-04-23 2003-10-29 Monolith Co., Ltd. Méthode et appareil pour le codage d'images, et méthode et appareil pour le décodage d'images
US7113183B1 (en) 2002-04-25 2006-09-26 Anark Corporation Methods and systems for real-time, interactive image composition
US7400782B2 (en) * 2002-08-28 2008-07-15 Arcsoft, Inc. Image warping correction in forming 360 degree panoramic images
US7095786B1 (en) 2003-01-11 2006-08-22 Neo Magic Corp. Object tracking using adaptive block-size matching along object boundary and frame-skipping when object motion is low
US7356164B2 (en) * 2003-05-30 2008-04-08 Lucent Technologies Inc. Method and apparatus for finding feature correspondences between images captured in real-world environments
FR2857132A1 (fr) * 2003-07-03 2005-01-07 Thomson Licensing Sa Dispositif, systeme et procede de codage d'images numeriques
US20050088458A1 (en) * 2003-07-31 2005-04-28 Marrin Christopher F. Unified surface model for image based and geometric scene composition
US7409105B2 (en) * 2003-10-22 2008-08-05 Arcsoft, Inc. Panoramic maker engine for a low profile system
WO2005069197A1 (fr) * 2003-12-31 2005-07-28 Lockheed Martin Missiles & Fire Control Procede et systeme de detection de cible adaptative
US7483551B2 (en) * 2004-02-24 2009-01-27 Lockheed Martin Corporation Method and system for improved unresolved target detection using multiple frame association
DE102005008131A1 (de) * 2005-01-31 2006-08-03 Daimlerchrysler Ag Objektdetektion auf Bildpunktebene in digitalen Bildsequenzen
US8698899B2 (en) * 2005-04-15 2014-04-15 The University Of Tokyo Motion capture system and method for three-dimensional reconfiguring of characteristic point in motion capture system
KR100815977B1 (ko) * 2005-04-20 2008-03-24 주식회사 메디슨 연속되는 영상으로부터 움직임을 추정하는 방법 및 시스템
CN100357701C (zh) * 2005-07-12 2007-12-26 北京航空航天大学 一种栅格型标定点亚像素提取方法
AU2007324337B8 (en) * 2006-11-20 2011-11-10 SenSen Networks Limited Network surveillance system
US8325976B1 (en) * 2008-03-14 2012-12-04 Verint Systems Ltd. Systems and methods for adaptive bi-directional people counting
US8866821B2 (en) 2009-01-30 2014-10-21 Microsoft Corporation Depth map movement tracking via optical flow and velocity prediction
JP2011118553A (ja) * 2009-12-01 2011-06-16 Keyence Corp 画像処理装置、画像処理方法及びコンピュータプログラム
US20140140573A1 (en) * 2012-11-21 2014-05-22 Gravity Jack, Inc. Pose Tracking through Analysis of an Image Pyramid
CN104833341A (zh) * 2014-08-25 2015-08-12 周彬 一种手机立体成像和手机立体测量方法
US9794588B2 (en) 2015-09-30 2017-10-17 Sony Corporation Image processing system with optical flow recovery mechanism and method of operation thereof
JP6602141B2 (ja) * 2015-10-05 2019-11-06 キヤノン株式会社 画像処理装置および方法
EP3163536B1 (fr) * 2015-10-30 2021-12-08 Dassault Systèmes Compression d'un objet modélisé en trois dimensions
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Also Published As

Publication number Publication date
EP1066594A1 (fr) 2001-01-10
US6192156B1 (en) 2001-02-20
WO1999052071A1 (fr) 1999-10-14
AU3195499A (en) 1999-10-25

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